Using artificial intelligence to predict glaucoma progression and surgery needs
Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention
This study is using smart technology to help doctors predict which glaucoma patients might need surgery or could have worsening vision, so they can provide better care and support for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project ID | NIH-10910061 on NIH RePORTER |
What this research studies
This research aims to utilize advanced artificial intelligence and deep learning techniques to forecast which patients with glaucoma may require surgical intervention and who is likely to experience worsening vision over time. By analyzing a combination of electronic health records, imaging data, and other clinical information from established glaucoma patient cohorts, the study seeks to create predictive models that can assist in clinical decision-making. Patients' historical data will be leveraged to enhance the accuracy of these predictions, ultimately improving patient care and outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with glaucoma, particularly those from diverse backgrounds, including African American populations.
Not a fit: Patients who do not have glaucoma or those with advanced glaucoma already requiring surgery may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized treatment plans for glaucoma patients, potentially preserving vision and reducing the need for surgical interventions.
How similar studies have performed: Previous research utilizing artificial intelligence in ophthalmology has shown promising results, indicating that this approach could be a significant advancement in glaucoma management.
Where this research is happening
La Jolla, United States
- University of California, San Diego — La Jolla, United States (Active)
Researchers
- Principal investigator: Zangwill, Linda M — University of California, San Diego
- Study coordinator: Zangwill, Linda M
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.